---
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: superb_ks_42
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: superb
      type: superb
      config: ks
      split: validation
      args: ks
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6209179170344219
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# superb_ks_42

This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the superb dataset.
It achieves the following results on the evaluation set:
- Loss: -7.0777
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1352
- Unlearn Overall Accuracy: 0.7429
- Unlearn Time: 572.3417

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:|
| No log        | 1.0   | 32   | -2.7512         | 0.4251   | 0.6613           | 0.6613                   | -1   |
| No log        | 2.0   | 64   | -7.0777         | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 3.0   | 96   | -9.8062         | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 4.0   | 128  | -12.3922        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 5.0   | 160  | -14.7819        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 6.0   | 192  | -16.8573        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 7.0   | 224  | -18.5870        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 8.0   | 256  | -19.8639        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 9.0   | 288  | -20.6518        | 0.1352   | 0.7429           | 0.7429                   | -1   |
| No log        | 10.0  | 320  | -20.9192        | 0.1352   | 0.7429           | 0.7429                   | -1   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2